Local models need a managed platform around them
Weights, runtime and hardware enable inference. Workspace, knowledge and operating responsibilities make it useful to a company.
Editorial analysis and illustrative technical scenarios. They do not define the features or integrations included in a UTOMAI subscription. See Private AI On-prem pre-launch information.
AI-generated editorial illustration. Not a product photograph or a customer case study.
Running an open-weight model is one part of Private AI. A company also needs a place for colleagues to work, approved knowledge, agent configuration and defined access. The value is the complete platform experience and its operating agreement, not the installation command.
Select a complete configuration
Confirm the model revision and licence, compatible runtime, available memory and representative workload. Runtime tools such as Ollama or vLLM are technical options to validate, rather than a promise that one is installed in every Box. Users should not need to choose the runtime to request a business configuration.
Keep the data flows explicit
Local inference can process inputs without an external LLM provider for that operation. Document storage, indexes, updates, telemetry, backup and remote assistance still need their own configuration. Fully local operation requires every necessary component to have a validated local path.
Define management before activation
The operating agreement should identify updates, monitoring, assistance, ordinary maintenance and responsibilities when something fails. Private AI On-prem describes a planned managed scope; availability, compatibility and the contractual SLA are confirmed before subscription. Custom integrations remain additional work.
Portability deserves a practical discussion too: which data and configurations can be exported, who holds the licences and what a move would require. Those conditions depend on the selected software and contract. An open-weight model alone does not promise ownership or unrestricted export of the entire platform.
